积聚
发表于 2025-3-21 16:10:02
书目名称Euro-Par 2024: Parallel Processing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0320756<br><br> <br><br>书目名称Euro-Par 2024: Parallel Processing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0320756<br><br> <br><br>书目名称Euro-Par 2024: Parallel Processing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0320756<br><br> <br><br>书目名称Euro-Par 2024: Parallel Processing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0320756<br><br> <br><br>书目名称Euro-Par 2024: Parallel Processing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0320756<br><br> <br><br>书目名称Euro-Par 2024: Parallel Processing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0320756<br><br> <br><br>书目名称Euro-Par 2024: Parallel Processing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0320756<br><br> <br><br>书目名称Euro-Par 2024: Parallel Processing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0320756<br><br> <br><br>书目名称Euro-Par 2024: Parallel Processing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0320756<br><br> <br><br>书目名称Euro-Par 2024: Parallel Processing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0320756<br><br> <br><br>
Insul岛
发表于 2025-3-21 23:21:38
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Gratulate
发表于 2025-3-22 01:48:43
Mixed Precision Randomized Low-Rank Approximation with GPU Tensor Coresdomized LRA entirely in fp32 arithmetic, which achieves an average accuracy of order .. Our results show that our approach without refinement is up to . faster, with an average accuracy of order ., which may be acceptable for some applications. Otherwise, we show that using refinement significantly
歪曲道理
发表于 2025-3-22 05:34:36
A Fast Wait-Free Solution to Read-Reclaim Races in Reference Countingcase, linear with respect to the number of threads that actually work with the variable. Our algorithm is based on the . technique, which is used in production but is only lock-free. We re-explain this technique as a special case of weighted reference counting, to arrive at a simpler explanation of
显而易见
发表于 2025-3-22 11:16:02
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antedate
发表于 2025-3-22 16:39:38
ALZI: An Improved Parallel Algorithm for Finding Connected Components in Large Graphshow that ALZI is 1.4–2.3 times faster than Afforest on these graphs and provides better scalability than Afforest. ALZI has the ability to work with very large graphs. On a Kronecker graph with 4.2 billion edges, ALZI can find the connected components in just 1.02 s using 128 processors.
antedate
发表于 2025-3-22 19:56:33
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漫步
发表于 2025-3-22 23:12:30
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Regurgitation
发表于 2025-3-23 05:20:12
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Inkling
发表于 2025-3-23 08:15:33
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